Artificial intelligence in public health: the potential of epidemic early warning systems
CR MacIntyre, X Chen… - Journal of …, 2023 - journals.sagepub.com
The use of artificial intelligence (AI) to generate automated early warnings in epidemic
surveillance by harnessing vast open-source data with minimal human intervention has the …
surveillance by harnessing vast open-source data with minimal human intervention has the …
[HTML][HTML] Infodemic signal detection during the COVID-19 pandemic: development of a methodology for identifying potential information voids in online conversations
TD Purnat, P Vacca, C Czerniak, S Ball… - JMIR …, 2021 - infodemiology.jmir.org
Background The COVID-19 pandemic has been accompanied by an infodemic: excess
information, including false or misleading information, in digital and physical environments …
information, including false or misleading information, in digital and physical environments …
Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19
The connection between humans and digital technologies has been documented
extensively in the past decades but needs to be evaluated through the current global …
extensively in the past decades but needs to be evaluated through the current global …
Covid19-IBO: a Covid-19 impact on Indian banking ontology along with an efficient schema matching approach
The exponential spread of Covid-19 is not only a serious concern for public health but has
also severely affected the global economy. India is not an exception. The banking sector …
also severely affected the global economy. India is not an exception. The banking sector …
[HTML][HTML] Differences in clinical presentation with long COVID after community and hospital infection and associations with all-cause mortality: English sentinel network …
B Meza-Torres, G Delanerolle, C Okusi… - JMIR public health …, 2022 - publichealth.jmir.org
Background: Most studies of long COVID (symptoms of COVID-19 infection beyond 4 weeks)
have focused on people hospitalized in their initial illness. Long COVID is thought to be …
have focused on people hospitalized in their initial illness. Long COVID is thought to be …
Longitudinal assessment of SARS-CoV-2 IgG seroconversionamong front-line healthcare workers during the first wave of the Covid-19 pandemic at a tertiary-care …
M Iruretagoyena, MR Vial, M Spencer-Sandino… - BMC infectious …, 2021 - Springer
Abstract Background Healthcare workers (HCWs) are at high risk of exposure to SARS-CoV-
2. Cross-sectional studies have provided variable rates of seroprevalence in HCWs …
2. Cross-sectional studies have provided variable rates of seroprevalence in HCWs …
[HTML][HTML] Developing a long COVID phenotype for postacute COVID-19 in a national primary care sentinel cohort: observational retrospective database analysis
Background Following COVID-19, up to 40% of people have ongoing health problems,
referred to as postacute COVID-19 or long COVID (LC). LC varies from a single persisting …
referred to as postacute COVID-19 or long COVID (LC). LC varies from a single persisting …
CovidO: an ontology for COVID-19 metadata
Ontology is a significant data model for identifying semantic information for Coronavirus
disease (COVID-19) discovery. Large-scale biological and general datasets have recently …
disease (COVID-19) discovery. Large-scale biological and general datasets have recently …
[HTML][HTML] Change in threads on Twitter regarding influenza, vaccines, and vaccination during the COVID-19 pandemic: Artificial Intelligence–based infodemiology study
Background: Discussions of health issues on social media are a crucial information source
reflecting real-world responses regarding events and opinions. They are often important in …
reflecting real-world responses regarding events and opinions. They are often important in …
Far from well: the UK since COVID‐19, and learning to follow the science (s)
G O'Donnell, H Begg - Fiscal Studies, 2020 - Wiley Online Library
This paper offers a five‐part framework for assessing why the United Kingdom has coped
poorly compared with peer countries with the medical, social and economic challenges …
poorly compared with peer countries with the medical, social and economic challenges …